Top Senior Data Science Jobs in Minneapolis, MN

The Data Scientist 2 will design and deploy machine learning solutions, drive model lifecycles, ensure compliance, and communicate insights. Requires extensive experience in healthcare data, modeling, and cross-functional collaboration.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

The Senior Data Scientist will leverage AI/ML for predictive modeling, uncover insights from data, and lead collaborative initiatives. They will optimize models and implement solutions across various domains.

The Staff Data Scientist will lead model development, drive analytics projects, mentor team members, and enhance business intelligence capabilities using advanced statistics and AI techniques.

The Principal Data Scientist will lead the development of AI/ML systems in healthcare, addressing complex challenges and mentoring junior data scientists. Responsibilities include designing scalable solutions, developing Generative AI applications, and ensuring responsible AI practices.

The Principal Data Scientist will lead empirical analyses to inform clinical operations, identify new programs, and optimize business strategies through end-to-end analytics pipeline management and effective communication with stakeholders.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

Lead the design and development of scalable data platforms, ensure performance and reliability, mentor engineers, and drive data governance and quality practices.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Science Specialist will apply machine learning and statistical modeling in R&D, collaborating with scientists on experiments and product developments, teaching statistical principles, and contributing to strategy and measurement practices.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

As a Staff Data Scientist, you will develop data-driven fraud prevention solutions using Generative AI, design scalable ML pipelines, and mentor junior data scientists while collaborating across teams to improve analytics and decision-making.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

Lead development of analytical pipelines and statistical models using R and Python for clinical data processing and reporting. Mentor peers and ensure compliance with regulatory standards.

As a Business Intelligence Data Scientist, you will develop dashboards, build statistical models, and analyze product features to enhance user insights.